AI Engineer- Associate

KPMG

$90K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 1+ years of experience in software engineering or data science with a focus on AI and ML
  • Bachelor's degree in computer science, engineering, or a related field
  • Proficient in Python programming and software development principles
  • Knowledge of version control systems (Git) and agile methodologies
  • Experience with cloud technologies (Azure) and containerization tools (Docker, Kubernetes)
  • Strong communication skills and a collaborative approach
  • Must be authorized to work in the U.S. without visa sponsorship

Responsibilities

  • Implement and deploy features for generative AI products with high-quality code
  • Collaborate to interpret user stories and develop core AI engine functionalities
  • Create test cases, debug issues, and support CI/CD pipelines
  • Innovate by learning and applying new AI technologies
  • Develop RAG pipelines and context engineering for sensitive data handling
  • Engage in team collaboration and agile ceremonies to support product goals
  • Maintain professional integrity and a respectful work atmosphere

Benefits

  • Comprehensive medical and dental plans
  • Vision coverage and life insurance options
  • 401(k) plans with company contribution
  • Personal Time Off and holiday breaks
  • Wellness benefits for mental health support
Full Job Description
KPMG is currently seeking an AI Engineer to join our Audit Technology Alliance organization.

Responsibilities:
  • Implement, test and deploy features for generative AI products; write clean, high-quality code under the guidance of senior team members
  • Work closely with the team to interpret user stories and technical requirements; contribute to the development of core AI engine and microservices
  • Deliver reliable solutions by assisting with creating test cases, debugging issues, and supporting continuous integration and deployment pipelines
  • Contribute to the team's innovation mission by learning and applying new technologies and patterns in the generative AI space
  • Construct and refine RAG pipelines and context engineering components that handle diverse and sensitive client data
  • Participate in team collaboration, knowledge sharing, and agile ceremonies to support overall goals and product roadmap
  • Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Qualifications:
  • Minimum one year of recent experience in software engineering or data science role with a strong interest in artificial intelligence and machine learning
  • Bachelor's degree from an accredited college or university is required in computer science, engineering, or a related technical discipline
  • Solid foundation in programming, preferably with Python; understanding of software development principles and data structures
  • Familiarity with version control systems such as Git and knowledge of agile software development methodologies
  • Willingness to learn and work with cloud technologies (Azure); experience with containerization tools (Docker, Kubernetes) and modern AI frameworks (LangChain, Semantic Kernel)
  • Excellent communication skills; proactive approach to problem-solving and a collaborative mindset for building cutting-edge products(200TEC)
  • Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

KPMG LLP and its subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work .

Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=8155_9_26

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

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